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Sustainable transport fleet appraisal using a hybrid multi-objective decision making approach

Author

Listed:
  • Chunguang Bai

    () (Dongbei University of Finance and Economics)

  • Behnam Fahimnia

    () (The University of Sydney Business School)

  • Joseph Sarkis

    () (Worcester Polytechnic Institute)

Abstract

Abstract One of the most critical operational practices influencing the environmental sustainability of organizations and their supply chains is the transport of materials, products and people. The carbon footprints, materials depletion, and general pollution emissions from transport vehicles makes their environmental burdens significant. Thus, identifying, selecting and implementing more environmentally conscious transportation vehicles can be of paramount importance for the development and management of greener supply chains. Given the relative importance of this issue, it is surprising that research on transport fleet evaluation, especially from an environmental sustainability perspective, has been rather limited. A primary challenge in this context is the broad range of influencing factors that need to be considered, many of which are not fully and easily measurable. This paper aims to (1) develop a holistic framework for sustainable transport fleet appraisal incorporating various vehicle performance, economic and environmental criteria, (2) introduce a novel hybrid approach for sustainable transportation vehicle evaluation and selection by combining a three-parameter interval grey number with a rough set theory and VIKOR method, (3) investigate the application of the proposed approach in a case example where empirical data is collected from industry experts, (4) evaluate the robustness of the methodology through sensitivity analysis experiments, and (5) provide practical insights and directions for future research in this area.

Suggested Citation

  • Chunguang Bai & Behnam Fahimnia & Joseph Sarkis, 2017. "Sustainable transport fleet appraisal using a hybrid multi-objective decision making approach," Annals of Operations Research, Springer, vol. 250(2), pages 309-340, March.
  • Handle: RePEc:spr:annopr:v:250:y:2017:i:2:d:10.1007_s10479-015-2009-z
    DOI: 10.1007/s10479-015-2009-z
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